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Robust Siting of Permeable Pavement in Highly Urbanized Watersheds Considering Climate Change Using a Combination of Fuzzy-TOPSIS and the VIKOR Method

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  • Seung Taek Chae

    (Seoul National University of Science and Technology)

  • Eun-Sung Chung

    (Seoul National University of Science and Technology)

  • Jiping Jiang

    (Southern University of Science and Technology)

Abstract

Selecting an optimal location to maximize low impact development (LID) efficiency while accounting for future climate change is a difficult problem that requires multiple criteria to be considered. This study used a coupled approach of Fuzzy-TOPSIS and VIKOR to prioritize the best sites for permeable pavement in an urban watershed while considering climate change scenarios. The future climate change scenario known as shared socioeconomic pathways (SSPs) was used, with ten CMIP6 GCMs. Future monthly precipitation data were bias corrected using a quantile mapping method. The Mokgamcheon watershed, Korea, which has been highly urbanized, was selected, and its 27 sub-watersheds were determined to be the best candidate sites for permeable pavement. The evaluation criteria were determined based on the driving force-pressure-state-impact-response framework, and the corresponding values for the 27 sub-watersheds were obtained from national statistics, bias-corrected precipitation values, and simulations of the Storm Water Management Model (SWMM). The relative closeness to the positive ideal solution was calculated in each case using Fuzzy-TOPSIS, and priority scores were aggregated using the VIKOR method. The priority of permeable pavement was higher in the downstream watershed, which was more urbanized than in the upstream watershed. The results of this study can be helpful to establish a plan for improving the water cycles in urban watersheds under future climate change scenarios.

Suggested Citation

  • Seung Taek Chae & Eun-Sung Chung & Jiping Jiang, 2022. "Robust Siting of Permeable Pavement in Highly Urbanized Watersheds Considering Climate Change Using a Combination of Fuzzy-TOPSIS and the VIKOR Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 951-969, February.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:3:d:10.1007_s11269-022-03062-y
    DOI: 10.1007/s11269-022-03062-y
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    References listed on IDEAS

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    1. Wenchao Qi & Chao Ma & Hongshi Xu & Zifan Chen & Kai Zhao & Hao Han, 2021. "Low Impact Development Measures Spatial Arrangement for Urban Flood Mitigation: An Exploratory Optimal Framework based on Source Tracking," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3755-3770, September.
    2. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    3. Eun-Sung Chung & Won-Pyo Hong & Kil Lee & Steven Burian, 2011. "Integrated Use of a Continuous Simulation Model and Multi-Attribute Decision-Making for Ranking Urban Watershed Management Alternatives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 641-659, January.
    4. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    5. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
    6. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    7. Kristie Ebi & Stephane Hallegatte & Tom Kram & Nigel Arnell & Timothy Carter & Jae Edmonds & Elmar Kriegler & Ritu Mathur & Brian O’Neill & Keywan Riahi & Harald Winkler & Detlef Vuuren & Timm Zwickel, 2014. "A new scenario framework for climate change research: background, process, and future directions," Climatic Change, Springer, vol. 122(3), pages 363-372, February.
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    1. Young Hoon Song & Eun-Sung Chung & Shamsuddin Shahid, 2022. "The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5977-5997, December.

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